Lone Gram

23.0k citations
285 papers · 17.6k indexed · 5 hit papers · h-index 70

Lone Gram

282 papers receiving 16.7k citations

Hit Papers

Soil c...8119962026200620162505007501000

Peers

Lone Gram
Comparison fields: 5 of 168
  • Biotechnology 3.7k
  • Endocrinology 2.1k
  • Animal Science and Zoology 3.1k
  • Aquatic Science 2.1k
  • Food Science 4.1k
Replace Jean Swings with:
Jean Swings Belgium
Chris W. Michiels Belgium
Geert Huys Belgium
Brian Austin United Kingdom
Marc Vancanneyt Belgium
Marc Heyndrickx Belgium
David Lane France
Vincent G. H. Eijsink Norway
Simon M. Cutting United Kingdom
Ingolf F. Nes Norway
Lone Gram relative to Jean Swings Belgium Jean Swings's profile →
Citations per field
00.5×3.2×
Jean Swings · 1×
Citations per year

Countries citing papers authored by Lone Gram

Since Specialization
Citations

This map shows the geographic impact of Lone Gram's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lone Gram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lone Gram more than expected).

Fields of papers citing papers by Lone Gram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lone Gram. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lone Gram. The network helps show where Lone Gram may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Lone Gram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lone Gram Line = papers co-authored together Lone Gram links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20248
3 20249
4 20237
5
Soil conditions and the plant microbiome boost the accumulation of monoterpenes in the fruit of Citrus reticulata ‘Chachi’breakdown →
202381
6 202119
7 20212
8 201911
9 201841
10 201685
11 2015125
12 201422
13 200819
14 200785
15 200685
16
Achieving continuous improvement in reductions in foodborne listeriosis: A risk-based approach
2005107
17 200332
18
FERMENTATION AND SPOILAGE OF SOM FAK, A THAI LOW-SALT FISH PRODUCT
199841
19 199663
20
Storage life of nile perch (Lates niloticus) in relation to temperature and initial bacterial load
198927

About Lone Gram

Lone Gram is a scholar working on Endocrinology, Biotechnology and Microbiology, having authored 285 papers that have together received 17.6k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (67 papers), Bacterial biofilms and quorum sensing (56 papers), Microbial Community Ecology and Physiology (56 papers), Listeria monocytogenes in Food Safety (51 papers), Vibrio bacteria research studies (50 papers), Microbial Inactivation Methods (34 papers), Genomics and Phylogenetic Studies (33 papers) and Microbial Natural Products and Biosynthesis (30 papers). The work is most often cited by research in Biotechnology (3.7k citations), Endocrinology (2.1k citations) and Animal Science and Zoology (3.1k citations). Lone Gram has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Hans Henrik Huss, Paw Dalgaard, Michael Givskov, Birte Fonnesbech Vogel, Jette Melchiorsen, Jesper Bartholin Bruhn, Kristian Fog Nielsen, Allan Beck Christensen, Bettina Spanggaard and Ingrid Huber. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Applied Microbiology, International Journal of Food Microbiology, Journal of Food Protection and Frontiers in Microbiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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